LLMOps BY ARES

From Development to Operation,
We Manage the Entire LLM Lifecycle.

Prompt Engineering · Model Integration · Evaluation · Deployment · Monitoring
ARES is an M&S enterprise that builds and operates the entire LLMOps pipeline in-house.

LLMOps PIPELINE
LLMOps Operational Pipeline
We have built and operate an in-house 5-stage pipeline, from prompt design to operational monitoring.
LLMOps 5-Stage Pipeline
1
Prompt Engineering
Domain-specific prompt
design & version control
2
Model Integration
LLM call orchestration
& chain configuration
3
Evaluation & Testing
Automated output quality
evaluation & regression testing
4
Deployment & Automation
Production deployment
& CI/CD automation
5
Monitoring
Real-time performance, cost,
& quality tracking & optimization
CORE CAPABILITIES
4 Core Capabilities of LLMOps
The core capabilities built to execute each pipeline stage in real-world production.
01

Prompt Engineering Framework

We design domain-specific prompts and continuously improve quality through version control and A/B testing. 17 years of domain knowledge in the M&S field marks the difference in prompt quality.

  • Prompt template library construction
  • Version control & rollback mechanisms
  • Domain expert collaboration processes
02

Model Evaluation & Quality Control

We operate systems to automatically evaluate the accuracy, consistency, and safety of LLM outputs. This combines quantitative metrics with qualitative review by domain experts.

  • Automated output quality evaluation pipeline
  • Regression testing & performance benchmarks
  • Safety filters & hallucination detection
03

Deployment & Operations Automation

We automate the CI/CD pipeline from building to deploying LLM-based applications. Built on our existing Agile/DevOps capabilities, we established LLM-specialized workflows.

  • Prompt change → automated testing → deployment
  • A/B deployment by model version
  • Cost-optimized automated routing
04

Real-time Monitoring & Optimization

We track the performance, cost, and quality metrics of production LLMs in real time, immediately detecting anomalies to initiate improvement cycles.

  • Real-time dashboard for quality, latency, & cost
  • Anomaly detection & automated alerts
  • Continuous improvement based on usage pattern analysis
IN PRACTICE
Vibe Coding — Real-World Application of LLMOps
An organization where all employees develop using AI. This is proof of our hands-on LLMOps operation.

Describe your intent in natural language,
and AI generates the code.

ARES has transitioned to a development system where all employees practice Vibe Coding. Not just developers, but also domain experts describe requirements in natural language, and AI generates the code.

This is possible because our LLMOps pipeline functions in real-world environments. Comprehensive AI development across the entire company is only viable when prompt quality management, output evaluation, and deployment automation are fully established.

Vibe coding without a solid LLMOps pipeline remains a personal experiment.
ARES achieved a company-wide transition because we have the pipeline in place.

Vibe Coding — From Natural Language to Code
100%
All Employees Using AI Tools
Multiplied Dev Productivity
Weeks→Days
Model Dev Cycle Shortened
In-House
Proprietary LLMOps Infrastructure
ROADMAP
Technology Evolution Roadmap
Agile → DevOps → LLMOps — ARES's development framework evolves continuously.
2008
Establishment of M&S Specialized Enterprise
Entered the Defense Simulation Domain
2015
Agile & DevOps Implementation
Established development framework based on SCRUM, CI/CD, and TDD
2024
Initiation of AI/LLM Technology R&D
Began designing the LLMOps pipeline
2025
LLMOps Pipeline Deployment & Transition to Vibe Coding
Full lifecycle operation: Prompt Management → Evaluation → Deployment → Monitoring
2026
Launch of LLMOps-Based Intelligent Products
First delivery of AI-integrated training systems
2030
Global Leader in AI-Native M&S
Global expansion based on LLMOps capabilities

Learn More About Our LLMOps Capabilities

Explore ARES's LLMOps operational framework.
We share the insights needed for your enterprise's AI transition.

Contact Us →
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